conftrace_

generalized linear model

138 papers

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Also known as

GLM

Co-occurring keywords

bayesian inference (1907) regret bound (1926) maximum likelihood estimation (233) logistic regression (386) high-dimensional statistics (145) maximum likelihood (255) approximate message passing (39) online learning (1777) variable selection (146) differential privacy (1016)

Papers

skglm: Improving scikit-learn for Regularized Generalized Linear Models JMLR 2025
Selective Inference with Distributed Data JMLR 2025
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing JMLR 2025
Mixed Models with Multiple Instance Learning AISTATS 2024
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap JMLR 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations NIPS 2024
Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits NIPS 2024
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024
Second Order Methods for Bandit Optimization and Control COLT 2024
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random NIPS 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024
Dropout Training is Distributionally Robust Optimal JMLR 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Regression with Label Permutation in Generalized Linear Model ICML 2023
Mixed Regression via Approximate Message Passing JMLR 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023
Mitigating Transformer Overconfidence via Lipschitz Regularization UAI 2023
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023